\Header{Dialyzer}{High-Flux Hemodialyzer}
\keyword{datasets}{Dialyzer}
\begin{Description}\relax
The \code{Dialyzer} data frame has 140 rows and 5 columns.\end{Description}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[Subject] an ordered factor with levels
\code{10} < \code{8} < \code{2} < \code{6} < \code{3} <
\code{5} < \code{9} < \code{7} < \code{1} < \code{4} <
\code{17} < \code{20} < \code{11} < \code{12} < \code{16} <
\code{13} < \code{14} < \code{18} < \code{15} < \code{19}
giving the unique identifier for each subject

\item[QB] a factor with levels
\code{200} and 
\code{300} giving the bovine blood flow rate (dL/min).

\item[pressure] a numeric vector giving the transmembrane pressure (dmHg).

\item[rate] the hemodialyzer ultrafiltration rate (mL/hr).

\item[index] index of observation within subject---1 through 7.

}\end{Format}
\begin{Details}\relax
Vonesh and Carter (1992) describe data measured on high-flux
hemodialyzers to assess their \emph{in vivo} ultrafiltration
characteristics. The ultrafiltration rates (in mL/hr) of 20 high-flux
dialyzers were measured at seven different transmembrane pressures (in
dmHg). The \emph{in vitro} evaluation of the dialyzers used bovine
blood at flow rates of either 200~dl/min or 300~dl/min. The data,
are also analyzed in Littell, Milliken, Stroup, and Wolfinger (1996).\end{Details}
\begin{Source}\relax
Pinheiro, J. C. and Bates, D. M. (2000), \emph{Mixed-Effects Models in S
and S-PLUS}, Springer, New York. (Appendix A.6)

Vonesh, E. F. and Carter, R. L. (1992), Mixed-effects nonlinear
regression for unbalanced repeated measures, \emph{Biometrics},
\bold{48}, 1-18.

Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger,
R. D. (1996), \emph{SAS System for Mixed Models}, SAS Institute,
Cary, NC.\end{Source}
\begin{Examples}
\begin{ExampleCode}
data(Dialyzer)
\end{ExampleCode}
\end{Examples}

